Efim Mazhnik
Ph.D. thesis title: “Application of machine learning methods for development of new materials”
Supervisor: Prof. Artem R. Oganov
Efim has completed his Bachelor’s degree in applied physics and mathematics at Moscow Institute of Physics and Technology (MIPT), department of general and applied physics. After that, he graduated with honors from Skolkovo Institute of Science and Technology with Master’s degree in Materials Science. His research topic was about application of graph convolutional networks for predicting the properties of materials.
Efim’s current interests include the application of machine learning and computational methods for predicting the properties of novel materials. He mainly focuses on the development of new superconductors, high thermal conductivity and superhard materials.
List of papers:
- E. Mazhnik, A. R. Oganov. A model of hardness and fracture toughness of solids. Journal of Applied Physics, v. 126, p. 125109 (2019).
- S. Pozdnyakov, A. R. Oganov, A. Mazitov, T. Frolov, I. Kruglov, E. Mazhnik. Fast general two- and three-body interatomic potential. (arXiv preprint arXiv:1910.07513) (2019).
